Mohammad Shekaramiz

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 14

Top Topics

Gaussian Process

Compressive Sensing

Variational Bayes

Top Venues

Publications

Majid Memari, Praveen Shakya, Mohammad Shekaramiz, Abdennour C. Seibi, Mohammad A. S. Masoum
Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection. IEEE Access 12 (2024)
Mohammad Shekaramiz, Todd K. Moon
Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion. Entropy 25 (3) (2023)
Amir Mirzaeinia, Mehdi Mirzaeinia, Mohammad Shekaramiz, Mostafa Hassanalian
Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering. CoRR (2020)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Exploration Versus Data Refinement Via Multiple Mobile Sensors Based On Epistemic Utility Controller. ACSSC (2019)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns. Entropy 21 (3) (2019)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Exploration vs. Data Refinement via Multiple Mobile Sensors. Entropy 21 (6) (2019)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
C-SBL(VB): A Variational Bayes Algorithm for Sparse Recovery of Signals with Unknown Clustering Pattern. ACSSC (2019)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Sparse Recovery Via Variational Bayesian Inference: Comparing Bernoullis-Gaussians-Inverse Gamma And Gaussians-Inverse Gammas Modeling. ACSSC (2018)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Sparse Bayesian learning using variational Bayes inference based on a greedy criterion. ACSSC (2017)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Exploration and data refinement via multiple mobile sensors based on Gaussian processes. ACSSC (2017)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
AMP-B-SBL: An algorithm for clustered sparse signals using approximate message passing. UEMCON (2016)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Sparse Bayesian learning boosted by partial erroneous support knowledge. ACSSC (2016)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
On the block-sparsity of multiple-measurement vectors. SP/SPE (2015)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
On the block-sparse solution of single measurement vectors. ACSSC (2015)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Hierarchical Bayesian approach for jointly-sparse solution of multiple-measurement vectors. ACSSC (2014)
Farid Sheikholeslam, Mohammad Shekaramiz
Stability criterion for Takagi-Sugeno models. FSKD (2011)
Mohammad Shekaramiz, Farid Sheikholeslam
On the stability of continuous-time T-S model. FSKD (2011)